Rushikesh Kulkarni

According to our database, Rushikesh Kulkarni authored at least 3 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Zero-shot Medical Event Prediction Using a Generative Pre-trained Transformer on Electronic Health Records.

Ekaterina Redekop, Zichen Wang, Rushikesh Kulkarni, Mara Pleasure, Aaron Chin, Hamid Reza Hassanzadeh, Brian L. Hill, Melika Emami, William Speier, Corey W. Arnold

CoRR, March, 2025

2022

Federated Learning with Research Prototypes for Multi-Center MRI-based Detection of Prostate Cancer with Diverse Histopathology.

Abhejit Rajagopal, Ekaterina Redekop, Anil Kemisetti, Rushi Kulkarni, Steven S. Raman, Kirti Magudia, Corey W. Arnold, Peder E. Z. Larson

CoRR, 2022

2021

Federated learning improves site performance in multicenter deep learning without data sharing.

Karthik V. Sarma, Stephanie A. Harmon, Thomas Sanford, Holger R. Roth, Ziyue Xu, Jesse Tetreault, Daguang Xu, Mona G. Flores, Alex G. Raman, Rushikesh Kulkarni, Bradford J. Wood, Peter L. Choyke, Alan Priester, Leonard S. Marks, Steven S. Raman, Dieter Enzmann, Baris Turkbey, William Speier, Corey W. Arnold

J. Am. Medical Informatics Assoc., 2021